Machine Learning Engineer

Company Description 2MNordic IT Consulting AB is an experienced IT consulting company that helps clients turn ideas into solutions that deliver clear business value. The company focuses on maximizing return on investment through practical, high-quality technology implementations. 2MNordic offers targeted services in web and mobile development, usability, graphic design, system integration, and system maintenance. Working at 2MNordic means collaborating with diverse clients and projects, using modern technologies to solve real-world business challenges. Team members are encouraged to contribute ideas and take ownership of their work in a professional, supportive environment.Role Description In this role, you will design and build machine learning systems and perform data analysis to improve the quality of large-scale geospatial datasets. You will develop both classical machine learning and NLP models to extract structured information, detect anomalies, and measure data quality.You will be involved end-to-end—from experimentation and model development to integration, productionization, and deployment at scale. This role requires a strong combination of data science expertise and solid software engineering skills.ResponsibilitiesDesign, develop, and deploy machine learning modelsBuild and maintain scalable data and software solutionsApply data science techniques to generate insights and improve data qualityOwn and deliver features and improvements end-to-endCollaborate with cross-functional teams to integrate models into production systemsMust-have Qualifications• Strong programming skills, with extensive experience in Python• Proven experience in machine learning and data science (e.g., classification, clustering, feature engineering, anomaly detection, neural networks)• Experience working with LLMs, including prompting and agent-based workflows• Solid understanding of classical ML algorithms (e.g., SVM, Random Forest, Naive Bayes, k-NN)• Experience with ML frameworks and libraries such as PyTorch, TensorFlow, Keras, Scikit-learn, NumPy, and Pandas• Strong analytical thinking and problem-solving skills• Ability to balance creativity with practical delivery in existing systems• Excellent written and verbal communication skills• Proactive, ownership-driven mindset with the ability to adapt and deliver in a fast-paced environmentExtra Merit Qualifications• Experience with Scala or Java• Knowledge in one or more of the following areas: NLP, information retrieval, data mining• Experience in statistical modeling and building predictive model